as_tibble.dose_paths    Cast 'dose_paths' object to 'tibble'.
calculate_probabilities
                        Calculate dose-path probabilities
cohort                  Cohort numbers of evaluated patients.
cohorts_of_n            Sample times between patient arrivals using the
                        exponential distribution.
continue                Should this dose-finding experiment continue?
crystallised_dose_paths
                        Dose-paths with probabilities attached.
demand_n_at_dose        Demand there are n patients at a dose before
                        condisdering stopping.
dont_skip_doses         Prevent skipping of doses.
dose_admissible         Is each dose admissible?
dose_indices            Dose indices
dose_paths              Dose pathways
dose_paths_function     Get function for calculating dose pathways.
doses_given             Doses given to patients.
eff                     Binary efficacy outcomes.
eff_at_dose             Number of toxicities seen at each dose.
eff_limit               Efficacy rate limit
empiric_eff_rate        Observed efficacy rate at each dose.
empiric_tox_rate        Observed toxicity rate at each dose.
enforce_three_plus_three
                        Enforce that a trial path has followed the 3+3
                        method.
escalation-package      The 'escalation' package.
fit                     Fit a dose-finding model.
follow_path             Follow a pre-determined dose administration
                        path.
get_boin                Get an object to fit the BOIN model using the
                        BOIN package.
get_dfcrm               Get an object to fit the CRM model using the
                        dfcrm package.
get_dose_paths          Calculate future dose paths.
get_empiric_crm_skeleton_weights
                        Get posterior model weights for several empiric
                        CRM skeletons.
get_mtpi                Get an object to fit the mTPI dose-finding
                        model.
get_random_selector     Get an object to fit a dose-selector that
                        randomly selects doses.
get_three_plus_three    Get an object to fit the 3+3 model.
get_tpi                 Get an object to fit the TPI dose-finding
                        model.
get_trialr_crm          Get an object to fit the CRM model using the
                        trialr package.
get_trialr_efftox       Get an object to fit the EffTox model using the
                        trialr package.
get_trialr_nbg          Get an object to fit the NBG dose-finding model
                        using the trialr package.
get_wages_and_tait      Get an object to fit Wages & Tait's model for
                        phase I/II dose-finding.
graph_paths             Visualise dose-paths as a graph
is_randomising          Is this selector currently randomly allocating
                        doses?
mean_prob_eff           Mean efficacy rate at each dose.
mean_prob_tox           Mean toxicity rate at each dose.
median_prob_eff         Median efficacy rate at each dose.
median_prob_tox         Median toxicity rate at each dose.
model_frame             Model data-frame.
n_at_dose               Number of patients treated at each dose.
n_at_recommended_dose   Number of patients treated at the recommended
                        dose.
num_cohort_outcomes     Number of different possible outcomes for a
                        cohort of patients
num_dose_path_nodes     Number of nodes in dose-paths analysis
num_doses               Number of doses.
num_eff                 Total number of efficacies seen.
num_patients            Number of patients evaluated.
num_tox                 Total number of toxicities seen.
parse_phase1_2_outcomes
                        Parse a string of phase I/II dose-finding
                        outcomes to vector notation.
parse_phase1_outcomes   Parse a string of phase I dose-finding outcomes
                        to vector notation.
phase1_2_outcomes_to_cohorts
                        Break a phase I/II outcome string into a list
                        of cohort parts.
phase1_outcomes_to_cohorts
                        Break a phase I outcome string into a list of
                        cohort parts.
prob_administer         Percentage of patients treated at each dose.
prob_eff_quantile       Quantile of the efficacy rate at each dose.
prob_recommend          Probability of recommendation
prob_tox_exceeds        Probability that the toxicity rate exceeds some
                        threshold.
prob_tox_quantile       Quantile of the toxicity rate at each dose.
prob_tox_samples        Get samples of the probability of toxicity.
recommended_dose        Recommended dose for next patient or cohort.
select_boin_mtd         Select dose by BOIN's MTD-choosing algorithm.
select_dose_by_cibp     Select dose by the CIBP selection criterion.
selector                Dose selector.
selector_factory        Dose selector factory.
simulate_trials         Simulate clinical trials.
simulation_function     Get function for simulating trials.
simulations             Simulated trials.
spread_paths            Spread the information in dose_finding_paths
                        object to a wide data.frame format.
stop_at_n               Stop when there are n patients in total.
stop_when_n_at_dose     Stop when there are n patients at a dose.
stop_when_too_toxic     Stop when a dose is too toxic.
stop_when_tox_ci_covered
                        Stop when uncertainty interval of prob tox is
                        covered.
supports_sampling       Does this selector support sampling of
                        outcomes?
three_plus_three        Fit the 3+3 model to some outcomes.
tox                     Binary toxicity outcomes.
tox_at_dose             Number of toxicities seen at each dose.
tox_limit               Toxicity rate limit
tox_target              Target toxicity rate
trial_duration          Duration of trials.
try_rescue_dose         Demand that a rescue dose is tried before
                        stopping is permitted.
